Research Paper Volume 16, Issue 2 pp 1860—1878
The integration of multi-omics analysis and machine learning for the identification of prognostic assessment and immunotherapy efficacy through aging-associated genes in lung cancer
Figure 7. Immune analysis of riskScore model. (A) The ssGSEA algorithm was used to calculate the relationship between riskScore and various immune cells. (B) The ssGSEA algorithm was employed to assess the relationship between riskScore and different immune-related functions. (C) TME analysis was performed to evaluate the differences between high and low-risk groups. (D) Mismatch repair (MMR) analysis revealed a strong association between riskScore and MMR status. (E) Immune checkpoints analysis revealed a strong association between riskScore and immune checkpoints. (F–H) Immune therapy analysis reveals treatment efficacy in high and low-risk patient groups.